公开(公告)号：US20190155966A1

公开(公告)日：2019-05-23

申请号：US16192657

申请日：2018-11-15

Applicant: AUTODESK, INC.

Inventor： Mehdi NOURBAKHSH ,  Adrian BUTSCHER ,  Hooman SHAYANI

IPC: G06F17/50

Abstract: One embodiment of the present invention sets forth a technique for generating one or more designs for a structural frame, the method comprising: receiving an input frame and an optimization objective that indicates a design goal for the one or more designs; based on the input frame, generating multiple candidate frames via a divergent search algorithm; based on the optimization objective, generating a different solution frame for each candidate frame via a convergent search algorithm; and determining a quality factor for each solution frame that enables a quantitative comparison with respect to the optimization objective of the solution frame with each other solution frame.

公开(公告)号：US20190272356A1

公开(公告)日：2019-09-05

申请号：US15911022

申请日：2018-03-02

Applicant: AUTODESK, INC.

Inventor： Abhishek TRIVEDI ,  Mehdi NOURBAKHSH ,  Michael BERGIN ,  Francesco IORIO

IPC: G06F17/50

Abstract: A design engine consolidates portions of a mechanical assembly design to reduce the number of components included in the design. The design engine analyzes the design to determine various criteria associated with the assembly. Then, the design engine identifies a group of components within the design to be consolidated. The design engine determines a volumetric region where the group of components resides and then subdivides the volumetric region. The design engine then initiates a generative design process based on the determined criteria to create geometry within each subdivision of the volumetric region. The newly generated geometry includes fewer components than the initial group of components. The design engine then replaces the group of components with the newly generated geometry, thereby consolidating the group and reducing the total number of components included in the design.

公开(公告)号：US20230281349A1

公开(公告)日：2023-09-07

申请号：US17687535

申请日：2022-03-04

Applicant: AUTODESK, INC.

Inventor： Yi WANG ,  Mehdi NOURBAKHSH ,  Dale ZHAO

IPC: G06F30/13 ,  G06F30/12

CPC classification number: G06F30/13 ,  G06F30/12

Abstract: In various embodiments, an intent-driven layout application automatically generates design for floor spaces. The intent-driven layout application generates a logic formula based on a statement of a design intent and at least one fuzzy geometric predicate. The intent-driven layout application computes, for a first spatial object, a set of desirability values for a set of candidate placements within a first design based on the logic formula. Based on the set of desirability values, the intent-driven layout application selects a first candidate placement from the set of candidate placements. Subsequently, the intent-driven layout application generates a second design based on the first design, where the first spatial object has the first candidate placement within the second design.

公开(公告)号：US20220083703A1

公开(公告)日：2022-03-17

申请号：US17071992

申请日：2020-10-15

Applicant: AUTODESK, INC.

Inventor： Yi WANG ,  Mehdi NOURBAKHSH

IPC: G06F30/13 ,  G06N20/00 ,  G06F30/27

Abstract: One embodiment of the present invention sets forth a technique for performing machine learning. The technique includes applying one or more placement rules to a floorplan of a building to generate a set of candidate column locations in the floorplan. The technique also includes selecting, using a first reinforcement learning (RL) agent, one or more column locations from the set of candidate column locations based on a structural stability of the one or more column locations. The technique further includes outputting the floorplan that includes the one or more column locations as a structural design for the building.